Overview

Dataset statistics

Number of variables11
Number of observations6586
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)0.1%
Total size in memory5.1 MiB
Average record size in memory819.6 B

Variable types

Numeric1
Categorical10

Alerts

Dataset has 6 (0.1%) duplicate rowsDuplicates
description has a high cardinality: 6022 distinct values High cardinality
floor_area has a high cardinality: 245 distinct values High cardinality
location has a high cardinality: 749 distinct values High cardinality
address has a high cardinality: 1830 distinct values High cardinality
price has a high cardinality: 647 distinct values High cardinality
bedrooms is highly correlated with bathrooms and 1 other fieldsHigh correlation
bathrooms is highly correlated with bedroomsHigh correlation
title is highly correlated with bedroomsHigh correlation
title is highly correlated with bedrooms and 3 other fieldsHigh correlation
bedrooms is highly correlated with title and 3 other fieldsHigh correlation
bathrooms is highly correlated with title and 3 other fieldsHigh correlation
parking_spaces is highly correlated with title and 2 other fieldsHigh correlation
rental_term is highly correlated with title and 2 other fieldsHigh correlation
id is highly skewed (γ1 = -23.2857009) Skewed
description is uniformly distributed Uniform

Reproduction

Analysis started2022-02-23 21:10:50.662007
Analysis finished2022-02-23 21:12:20.597507
Duration1 minute and 29.94 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

SKEWED

Distinct6534
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110016713.8
Minimum1285178
Maximum110988274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.6 KiB
2022-02-23T23:12:20.672505image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1285178
5-th percentile106651420.8
Q1109791992.5
median110769770
Q3110920096
95-th percentile110975815.8
Maximum110988274
Range109703096
Interquartile range (IQR)1128103.5

Descriptive statistics

Standard deviation2064964.357
Coefficient of variation (CV)0.01876955133
Kurtosis1168.809605
Mean110016713.8
Median Absolute Deviation (MAD)193951
Skewness-23.2857009
Sum7.245700771 × 1011
Variance4.264077795 × 1012
MonotonicityNot monotonic
2022-02-23T23:12:20.794505image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1109823614
 
0.1%
1109610293
 
< 0.1%
1108038093
 
< 0.1%
1109668753
 
< 0.1%
1109445883
 
< 0.1%
1109779003
 
< 0.1%
1107793453
 
< 0.1%
1107999113
 
< 0.1%
1108906013
 
< 0.1%
1107803912
 
< 0.1%
Other values (6524)6556
99.5%
ValueCountFrequency (%)
12851781
< 0.1%
1002444891
< 0.1%
1003322181
< 0.1%
1008882851
< 0.1%
1009539811
< 0.1%
1010676481
< 0.1%
1011228071
< 0.1%
1011723401
< 0.1%
1011846281
< 0.1%
1011846541
< 0.1%
ValueCountFrequency (%)
1109882741
< 0.1%
1109882621
< 0.1%
1109882591
< 0.1%
1109882541
< 0.1%
1109880751
< 0.1%
1109879191
< 0.1%
1109878931
< 0.1%
1109878351
< 0.1%
1109878051
< 0.1%
1109877431
< 0.1%

title
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct32
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size477.0 KiB
2 Bedroom Apartment
2159 
1 Bedroom Apartment
1266 
3 Bedroom House
813 
4 Bedroom House
487 
3 Bedroom Apartment
460 
Other values (27)
1401 

Length

Max length21
Median length19
Mean length17.14713028
Min length5

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row2 Bedroom Apartment
2nd row2 Bedroom Apartment
3rd row3 Bedroom House
4th row2 Bedroom Apartment
5th row1 Bedroom House

Common Values

ValueCountFrequency (%)
2 Bedroom Apartment2159
32.8%
1 Bedroom Apartment1266
19.2%
3 Bedroom House813
 
12.3%
4 Bedroom House487
 
7.4%
3 Bedroom Apartment460
 
7.0%
2 Bedroom House393
 
6.0%
Apartment240
 
3.6%
5 Bedroom House195
 
3.0%
1 Bedroom House165
 
2.5%
6 Bedroom House106
 
1.6%
Other values (22)302
 
4.6%

Length

2022-02-23T23:12:20.915508image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
bedroom6265
32.8%
apartment4278
22.4%
22552
13.4%
house2308
 
12.1%
11431
 
7.5%
31273
 
6.7%
4523
 
2.7%
5198
 
1.0%
6108
 
0.6%
0.594
 
0.5%
Other values (12)86
 
0.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

description
Categorical

HIGH CARDINALITY
UNIFORM

Distinct6022
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
GOOSE VALLEY GOLF ESTATE RENTALS - PLETTENBERG BAY ACCOMMODATION Goose Valley Golf ...
 
35
Sapphire Mews, Cravenby Special: 50% Deposit + 1st months rent-free & 1st 10 ...
 
19
Cosy two bedroom Flats in Cravenby, Elsies River Located near amenities and public transport, in central area 7 minutes to ...
 
13
Stunning new apartments - First Month Rent Free & No Deposit, Terms & Conditions Apply!!! Beautiful new 2 Bedroom Apartments ...
 
10
Situated in a secure lifestyle estate with 24hour access control, on Simonsvlei Road, just outside Paarl and a mere stone’s throw away ...
 
10
Other values (6017)
6499 

Length

Max length270
Median length133
Mean length119.734133
Min length5

Characters and Unicode

Total characters7777
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5604 ?
Unique (%)85.1%

Sample

1st rowLuxury Apartment close to amenities, offering 2 spacious bedroom apartment in the popular Tuscan Park Villas, Views overlooking Table ...
2nd rowA large 2 bedroom apartment in wonderful condition with a fantastic balcony ...
3rd rowClassic Victorian meets contemporary in this beautiful newly renovated house situated in a secure tranquil cul-de sac. Perfect for ...
4th rowThis lovely two bed unit is located in a neat, well-kept complex. Open plan kitchen & living area. Two spacious bedrooms with ...
5th rowOne bedroom house - stand alone - available immediately Open plan kitchen & Lounge; 1 Bedroom (BIC) with door; Bathroom with ...

Common Values

ValueCountFrequency (%)
GOOSE VALLEY GOLF ESTATE RENTALS - PLETTENBERG BAY ACCOMMODATION Goose Valley Golf ...35
 
0.5%
Sapphire Mews, Cravenby Special: 50% Deposit + 1st months rent-free & 1st 10 ...19
 
0.3%
Cosy two bedroom Flats in Cravenby, Elsies River Located near amenities and public transport, in central area 7 minutes to ...13
 
0.2%
Stunning new apartments - First Month Rent Free & No Deposit, Terms & Conditions Apply!!! Beautiful new 2 Bedroom Apartments ...10
 
0.2%
Situated in a secure lifestyle estate with 24hour access control, on Simonsvlei Road, just outside Paarl and a mere stone’s throw away ...10
 
0.2%
Kettles house is a self check in facility, you can arrive, stay, and depart without zero direct contact with staff or other guests. We ...8
 
0.1%
Limited Special: Pay one month deposit, get one month rent-free!* These secure ...7
 
0.1%
FIRST MONTH RENT and HALF MONTH DEPOSIT on our unfurnished 2 Bedroom apartments at Buh-Rein Estate Kraaifontein First Month Rent of ...7
 
0.1%
Beautiful 2 Bedroom Apartments TO LET in Bellville South, Cape Town and offers strict access-controlled entrance and exit. Easy access ...6
 
0.1%
Stunning new apartments - First Month Rent Free & 50% Deposit!!! Beautiful new 2 Bedroom Apartments TO LET in Bellville South ...5
 
0.1%
Other values (6012)6466
98.2%

Length

2022-02-23T23:12:21.033505image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8318
 
6.3%
the4446
 
3.4%
in4057
 
3.1%
and3870
 
2.9%
a3143
 
2.4%
this2989
 
2.3%
with2716
 
2.1%
apartment2576
 
2.0%
bedroom2507
 
1.9%
is2469
 
1.9%
Other values (5811)94155
71.7%

Most occurring characters

ValueCountFrequency (%)
7777
100.0%

Most occurring categories

ValueCountFrequency (%)
Control7777
100.0%

Most frequent character per category

Control
ValueCountFrequency (%)
7777
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common7777
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7777
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7777
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7777
100.0%

bedrooms
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct20
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size373.7 KiB
2
2552 
1
1431 
3
1273 
4
523 
na
321 
Other values (15)
486 

Length

Max length3
Median length1
Mean length1.085028849
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row2
2nd row2
3rd row3
4th row2
5th row1

Common Values

ValueCountFrequency (%)
22552
38.7%
11431
21.7%
31273
19.3%
4523
 
7.9%
na321
 
4.9%
5198
 
3.0%
6108
 
1.6%
0.594
 
1.4%
826
 
0.4%
724
 
0.4%
Other values (10)36
 
0.5%

Length

2022-02-23T23:12:21.141506image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
22552
38.7%
11431
21.7%
31273
19.3%
4523
 
7.9%
na321
 
4.9%
5198
 
3.0%
6108
 
1.6%
0.594
 
1.4%
826
 
0.4%
724
 
0.4%
Other values (10)36
 
0.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

bathrooms
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size374.0 KiB
1
3456 
2
1641 
3
464 
na
 
243
4
 
241
Other values (17)
541 

Length

Max length3
Median length1
Mean length1.135135135
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row1
3rd row2.5
4th row1
5th row1

Common Values

ValueCountFrequency (%)
13456
52.5%
21641
24.9%
3464
 
7.0%
na243
 
3.7%
4241
 
3.7%
5107
 
1.6%
2.594
 
1.4%
1.590
 
1.4%
3.571
 
1.1%
657
 
0.9%
Other values (12)122
 
1.9%

Length

2022-02-23T23:12:21.239506image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
13456
52.5%
21641
24.9%
3464
 
7.0%
na243
 
3.7%
4241
 
3.7%
5107
 
1.6%
2.594
 
1.4%
1.590
 
1.4%
3.571
 
1.1%
657
 
0.9%
Other values (12)122
 
1.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

parking_spaces
Categorical

HIGH CORRELATION

Distinct19
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size374.7 KiB
1
2901 
na
1587 
2
1398 
4
 
262
3
 
261
Other values (14)
 
177

Length

Max length3
Median length1
Mean length1.244761616
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st rowna
2nd row2
3rd row3
4th row2
5th row1

Common Values

ValueCountFrequency (%)
12901
44.0%
na1587
24.1%
21398
21.2%
4262
 
4.0%
3261
 
4.0%
563
 
1.0%
656
 
0.9%
717
 
0.3%
815
 
0.2%
1010
 
0.2%
Other values (9)16
 
0.2%

Length

2022-02-23T23:12:21.334504image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12901
44.0%
na1587
24.1%
21398
21.2%
4262
 
4.0%
3261
 
4.0%
563
 
1.0%
656
 
0.9%
717
 
0.3%
815
 
0.2%
1010
 
0.2%
Other values (9)16
 
0.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

floor_area
Categorical

HIGH CARDINALITY

Distinct245
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size380.1 KiB
na
4324 
65
 
97
60
 
68
40
 
65
54
 
57
Other values (240)
1975 

Length

Max length5
Median length2
Mean length2.07728515
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)1.2%

Sample

1st row66
2nd rowna
3rd row303
4th rowna
5th row40

Common Values

ValueCountFrequency (%)
na4324
65.7%
6597
 
1.5%
6068
 
1.0%
4065
 
1.0%
5457
 
0.9%
5056
 
0.9%
4755
 
0.8%
8044
 
0.7%
5543
 
0.7%
4842
 
0.6%
Other values (235)1735
26.3%

Length

2022-02-23T23:12:21.433506image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na4324
65.6%
6597
 
1.5%
6068
 
1.0%
4065
 
1.0%
5457
 
0.9%
5056
 
0.8%
4755
 
0.8%
8044
 
0.7%
5543
 
0.7%
4842
 
0.6%
Other values (235)1740
26.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

location
Categorical

HIGH CARDINALITY

Distinct749
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size444.1 KiB
Sea Point
 
192
Camps Bay
 
191
Cape Town City Centre
 
161
Parklands
 
147
Buh Rein Estate
 
109
Other values (744)
5786 

Length

Max length38
Median length11
Mean length12.03720012
Min length4

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)3.3%

Sample

1st rowTyger Valley
2nd rowKenilworth
3rd rowSea Point
4th rowBlouberg Sands
5th rowOakdale

Common Values

ValueCountFrequency (%)
Sea Point192
 
2.9%
Camps Bay191
 
2.9%
Cape Town City Centre161
 
2.4%
Parklands147
 
2.2%
Buh Rein Estate109
 
1.7%
Rondebosch102
 
1.5%
Burgundy Estate102
 
1.5%
Observatory99
 
1.5%
Green Point82
 
1.2%
Century City79
 
1.2%
Other values (739)5322
80.8%

Length

2022-02-23T23:12:21.542506image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
estate635
 
5.6%
central573
 
5.0%
bay479
 
4.2%
point354
 
3.1%
city240
 
2.1%
sea202
 
1.8%
parklands196
 
1.7%
camps191
 
1.7%
cape169
 
1.5%
town167
 
1.5%
Other values (748)8223
71.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

address
Categorical

HIGH CARDINALITY

Distinct1830
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size418.4 KiB
na
4488 
55 Ramphal Singh Street
 
26
The Dunes Resort - Keurboomstrand
 
11
26 Dartford
 
10
1 Belami Drive
 
8
Other values (1825)
2043 

Length

Max length93
Median length2
Mean length8.01153963
Min length2

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1642 ?
Unique (%)24.9%

Sample

1st rowna
2nd row86 Rosmead Avenue
3rd rowna
4th rowna
5th rowna

Common Values

ValueCountFrequency (%)
na4488
68.1%
55 Ramphal Singh Street26
 
0.4%
The Dunes Resort - Keurboomstrand11
 
0.2%
26 Dartford10
 
0.2%
1 Belami Drive8
 
0.1%
1 Corner Of Bester and Peter Barlow Dr5
 
0.1%
187 Sir Lowry Road, Woodstock5
 
0.1%
5 Halt Road4
 
0.1%
16 Bree Street4
 
0.1%
The Jade Estate, . New Rush4
 
0.1%
Other values (1820)2021
30.7%

Length

2022-02-23T23:12:21.663507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na4488
36.1%
road585
 
4.7%
street530
 
4.3%
1182
 
1.5%
avenue132
 
1.1%
rd113
 
0.9%
drive105
 
0.8%
estate83
 
0.7%
281
 
0.7%
st78
 
0.6%
Other values (1970)6040
48.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

rental_term
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size409.9 KiB
monthly
5652 
daily
934 

Length

Max length7
Median length7
Mean length6.716368053
Min length5

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmonthly
2nd rowmonthly
3rd rowmonthly
4th rowmonthly
5th rowmonthly

Common Values

ValueCountFrequency (%)
monthly5652
85.8%
daily934
 
14.2%

Length

2022-02-23T23:12:21.763503image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-02-23T23:12:21.827504image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
ValueCountFrequency (%)
monthly5652
85.8%
daily934
 
14.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

price
Categorical

HIGH CARDINALITY

Distinct647
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size395.1 KiB
7500
 
232
6500
 
232
8500
 
224
7000
 
196
8000
 
157
Other values (642)
5545 

Length

Max length7
Median length4
Mean length4.405253568
Min length2

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique271 ?
Unique (%)4.1%

Sample

1st row8750
2nd row9500
3rd row38500
4th row8500
5th row4500

Common Values

ValueCountFrequency (%)
7500232
 
3.5%
6500232
 
3.5%
8500224
 
3.4%
7000196
 
3.0%
8000157
 
2.4%
9000133
 
2.0%
12000132
 
2.0%
9500128
 
1.9%
10000127
 
1.9%
15000118
 
1.8%
Other values (637)4907
74.5%

Length

2022-02-23T23:12:21.887505image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
7500232
 
3.5%
6500232
 
3.5%
8500224
 
3.4%
7000196
 
3.0%
8000157
 
2.4%
9000133
 
2.0%
12000132
 
2.0%
9500128
 
1.9%
10000127
 
1.9%
15000118
 
1.8%
Other values (637)4907
74.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

Interactions

2022-02-23T23:10:53.732590image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Correlations

2022-02-23T23:12:21.964507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-02-23T23:12:22.073503image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-02-23T23:12:20.313503image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
A simple visualization of nullity by column.
2022-02-23T23:12:20.504506image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

idtitledescriptionbedroomsbathroomsparking_spacesfloor_arealocationaddressrental_termprice
01091975052 Bedroom ApartmentLuxury Apartment close to amenities, offering 2 spacious bedroom apartment in the popular Tuscan Park Villas, Views overlooking Table ...21na66Tyger Valleynamonthly8750
11109882742 Bedroom ApartmentA large 2 bedroom apartment in wonderful condition with a fantastic balcony ...212naKenilworth86 Rosmead Avenuemonthly9500
21109882623 Bedroom HouseClassic Victorian meets contemporary in this beautiful newly renovated house situated in a secure tranquil cul-de sac. Perfect for ...32.53303Sea Pointnamonthly38500
31109882592 Bedroom ApartmentThis lovely two bed unit is located in a neat, well-kept complex. Open plan kitchen & living area. Two spacious bedrooms with ...212naBlouberg Sandsnamonthly8500
41109882541 Bedroom HouseOne bedroom house - stand alone - available immediately\n\nOpen plan kitchen & Lounge;\n1 Bedroom (BIC) with door;\nBathroom with ...11140Oakdalenamonthly4500
51096351533 Bedroom ApartmentThis beautiful and contemporary apartment features classy, high-end finishes and offers 3 spacious bedrooms, a study, as well as 2 ...322180Fresnayenamonthly40000
61099255231 Bedroom ApartmentThis superb 1 bed and 1 bath apartment has sensational views of the city. Centrally ...11nanaDe Waterkant31 Mechau Streetmonthly12000
71099488053 Bedroom HouseFully furnished home is close to PnP Centre Gordons Bay, walking distance to the beach.\nIt has an entrance hall leading to the ...323naGordon Strand Estatenamonthly13000
81109880752 Bedroom ApartmentBeautiful 2 Bedroom Apartments TO LET in Bellville South, Cape Town and offers strict access-controlled entrance and exit. Easy access ...21nanaGlenhavennamonthly7050
91109879191 Bedroom ApartmentAvailable on the 1st of April. Situated on the first floor and looking out to the south is the majestic Table Mountain. This luxury ...11164Sandownnamonthly9000

Last rows

idtitledescriptionbedroomsbathroomsparking_spacesfloor_arealocationaddressrental_termprice
65761109778641 Bedroom ApartmentThis spacious ground floor apartment is in Van Riebeek Hof A, in Knysna Road, Milnerton. It is available for rental from either the 1/3 ...11260Milnerton Centralnamonthly7500
65771109876202 Bedroom ApartmentBe the first to live in the exciting new Development Bow Tie in Burgundy Estate \n\nThis Stunning 2 bedrooms and 1 bathrooms ground floor ...211naBurgundy Estatenamonthly9500
65781109842571 Bedroom ApartmentWelcoming young professionals, Students and couples with kids.\r\n\r\n\r\nLocated in Richmond Estate Goodwood. If you are working in Goodwood ...11nanaRichmond Estatenamonthly4600
65791109483632 Bedroom ApartmentSpacious and comfortable 2 bedroom apartment, walking distance to beach front, shops and restaurants. Situated in Big Bay Beach Club ...21nanaBig Baynamonthly12500
65801109533832 Bedroom ApartmentGarden City Heights \r\nDouble story modern corner scheme.\r\n2 Spacious bedrooms with built in cupboards bedrooms \r\n2 bathrooms, one with ...221naPinelandsnamonthly12000
65811109084331 Bedroom ApartmentThis lovely 1 bedroom is fully furnished, fully equipped, secure and central!\n\nUnfortunately NO pets allowed - no ...11nanaNorthcliffnamonthly7500
6582110941202ApartmentLounge with kitchenette\r\nBedroom and bathroomnanananaLotus River294 - 7th Avenuemonthly3800
65831106613973 Bedroom HouseDouble storey farm style spacious home 3 bedrooms main bedroom en suite second bathroom ...322naLeisure Isle6 Hall Roaddaily4000
65841107920181 Bedroom ApartmentThis lovely 1 bedroom is fully furnished, fully equipped, secure and central!\n\nUnfortunately NO pets allowed - no ...11nanaNorthcliffnamonthly7500
65851088158721 Bedroom ApartmentFully furnished 1 bedroom apartment situated in a secure, modern and great located building in Dewater kant. The unit is situated in a ...111naDe Waterkantnamonthly13000

Duplicate rows

Most frequently occurring

idtitledescriptionbedroomsbathroomsparking_spacesfloor_arealocationaddressrental_termprice# duplicates
01093302181 Bedroom ApartmentLovely 1 Bedroom 1 Bathroom!\n\nModern apartments display innovative layouts and quality finishes, such as aluminium windows and granite ...111naParklands Northnamonthly65002
11093927023 Bedroom ApartmentLocated in the heart Parklands (less than 5km from Bloubergstrand), we offer you a ...322122ParklandsSt.jamesmonthly90002
21108148820.5 Bedroom ApartmentLocated just 2.1 km from Milnerton Beach, 212 Crystal Towers Residence - Superior Studio Apartment provides accommodation in Cape Town ...0.51157Century Citynamonthly222502
31108956453 Bedroom HouseAn avantgarde, Tuscan Villa with a Spanish feel, tucked away, near and overlooking a nature reserve. Two lounges many fire places an ...326naBig Baynamonthly550002
41109019082 Bedroom ApartmentFIRST MONTH RENT and HALF MONTH DEPOSIT on our unfurnished 2 Bedroom apartments at Buh-Rein Estate Kraaifontein\r\n\r\nFirst Month Rent of ...21143Buh Rein Estatenamonthly62502
51109584513 Bedroom HouseEnjoy this lock up & go cottage in Rondebosch with good accommodation and affordable. There are 3 bedrooms, a lounge, dining area ...31nanaRondeboschnamonthly100002